Machine Learning Engineer
ObjectStyle is a provider of open source solutions and commercial software development services. We are a major driving force behind such projects as Apache Cayenne – a powerful ORM framework, Bootique.io – a container-less Java app launcher, LinkRest – a model-driven REST engine, and a number of others. Our clients are located in the US, Australia, and EU. We work with the National Hockey League, Wikipedia, and other great companies.
Lucidworks – one of our key clients – is the commercial company behind Apache Lucene/Solr, the world’s leading open-source search platform. These cutting-edge technologies power critical search apps at thousands of businesses worldwide both large and small – including Netflix, IBM, Twitter, LinkedIn, and dozens of other household names. Team is currently building the new generation of cloud search product – Springboard.
Currently, we’re searching for a talented ML/DS engineer with hands on coding experience to join the Lucidworks team. This role would focus on work that falls between those two groups – somewhere between a machine learning engineer and a data engineer. In terms of technology stack, we are using Python, PyTorch, ClearML, Seldon, Argo, Vespa, Docker and Kubernetes, and Google Cloud.
Why would you want to join?
Scale. Search is being used in highly loaded environments with 4k requests processed and 3-5M documents being indexed every second.
Cloud development. Springboard is the new generation of the flagman company product Fusion built from the ground up specifically for the cloud.
Big-name in a tech world. Lucidworks is a known and respected company in the tech world. That would definitely look good in your CV.
Team level. This is the team of world-class senior engineers. You will be working with people from Amazon, Reddit, and other technology companies.
Comfort. We believe that only in a comfortable and safe environment you will be able to perform at your best. That’s why we have a flexible schedule and avoid overtime work.
Things we seek:
- 3+ years of professional R&D experience
- Strong CS skills, ability to write efficient and easy to understand code in Python
- Good knowledge of the common DS and NLP libraries such as pandas, NumPy, and transformers
- Upper-Intermediate English
Nice to have:
- Experience with the DL frameworks: PyTorch or Keras/Tensorflow (PyTorch strongly preferred)
- Familiarity with microservices and cloud technologies like Docker and Kubernetes
- Vector databases (NNS)
- Docker and Kubernetes
- Google Cloud